Gábor Szatmári

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Hungary

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Recent Grants

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ELKH Researchers' Mobility Programme 2023

Open Date: 2023-08-01

Close Date: 2023-09-01

Grant: Close

Quantification and propagation of spatial uncertainty in complex soil functions using advanced statistical approaches

Open Date: 2022-09-01

Close Date: 2025-08-01

Grant: Close

Quantification, evaluation and communication of uncertainty of predictive soil maps using advanced statistical approaches

Open Date: 2019-09-01

Close Date: 2022-08-01

Grant: Close

Szádeczky-Kardoss Elemér Award

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Close Date:

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Bárány Róbert Award

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Articles (18)

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2025

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2021

Collaborators (11)

Imre Cseresnyés

HUNGARY

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Gergely Toth

HUNGARY

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Zoltán Bátori

assistant professor

University of Szeged

HUNGARY

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Tünde Takáts

Institute of Soil Science and Plant Cultivation

HUNGARY

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Peter Szilassi

associate professor

HUNGARY

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Péter Torma

Budapest University of Technology and Economics

HUNGARY

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Tibor József Novák

associate professor

University of Debrecen

HUNGARY

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Tibor Standovár

Eötvös Loránd University

HUNGARY

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Alida Anna Habenczyus

HUNGARY

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David Abriha

Assistant professor

University of Debrecen

HUNGARY

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TRIVEN KOGANTI

Aarhus University

DENMARK

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Gábor Szatmári

Research Interests

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Recent Grants

Articles (18)

Empirical estimation of saturated soil-paste electrical conductivity in the EU using pedotransfer functions and Quantile Regression Forests: A mapping approach based on LUCAS topsoil data

National soil hydrologic groups map for environmental applications using data-driven and expert-based methods

The impact of direct and indirect digital soil mapping approaches on spatial uncertainty

Climate-Smart Agricultural Practices—Strategies to Conserve and Increase Soil Carbon in Hungary

Large-scale mapping of soil particle size distribution using legacy data and machine learning-based pedotransfer functions

Classification Assessment Tool: A program to measure the uncertainty of classification models in terms of class-level metrics

Gridded, temporally referenced spatial information on soil organic carbon for Hungary

Space-time modelling of soil organic carbon stock change at multiple scales: Case study from Hungary

Applicability of Point- and Polygon-Based Vegetation Monitoring Data to Identify Soil, Hydrological and Climatic Driving Forces of Biological Invasions—A Case Study of <i>Ailanthus altissima</i>, <i>Elaeagnus angustifolia</i> and <i>Robinia pseudoacacia</i>

Cropland Productivity Evaluation: A 100 m Resolution Country Assessment Combining Earth Observation and Direct Measurements

Indirect Prediction of Salt Affected Soil Indicator Properties through Habitat Types of a Natural Saline Grassland Using Unmanned Aerial Vehicle Imagery

Soluble phosphorus content of Lake Balaton sediments

High-Resolution Mapping and Assessment of Salt-Affectedness on Arable Lands by the Combination of Ensemble Learning and Multivariate Geostatistics

Compiling a high-resolution country-level ecosystem map to support environmental policy: methodological challenges and solutions from Hungary

Identification and Counting of European Souslik Burrows from UAV Images by Pixel-Based Image Analysis and Random Forest Classification: A Simple, Semi-Automated, yet Accurate Method for Estimating Population Size

Joint Spatial Modeling of Nutrients and Their Ratio in the Sediments of Lake Balaton (Hungary): A Multivariate Geostatistical Approach

Joint Spatial Modeling of Nutrients and Their Ratio in the Sediments of Lake Balaton (Hungary): A Multivariate Geostatistical Approach

Estimating soil organic carbon stock change at multiple scales using machine learning and multivariate geostatistics

Collaborators (11)

Imre Cseresnyés

Gergely Toth

Zoltán Bátori

Tünde Takáts

Peter Szilassi

Péter Torma

Tibor József Novák

Tibor Standovár

Alida Anna Habenczyus

David Abriha

TRIVEN KOGANTI

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